№ files_lp_3_process_7_032693
A set of computational tools to predict geometrical accuracy, residual stress, and microstructure in metal-based additive manufacturing processes.
Year: 2015
Region / City: Park City, UT
Topic: Advanced Manufacturing
Subtopic: Predictive Modeling Tools for Metal-Based Additive Manufacturing
Document Type: Research Award
Organization / Institution: Engineering Laboratory
Firm: 3DSIM
Author: Dr. Nachiket Patil
Target Audience: Researchers, Engineers, Additive Manufacturing Professionals
Period of Validity: N/A
Approval Date: N/A
Date of Changes: N/A
Price: 8 / 10 USD
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